2016-12-11 04:30:11 +03:00
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#!/usr/bin/env python
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2010-07-31 06:52:47 +04:00
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# minimal sanity check
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2012-10-29 22:50:20 +04:00
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from __future__ import print_function
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2013-04-09 09:42:49 +04:00
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2013-06-30 06:13:55 +04:00
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import os
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2019-07-06 23:40:53 +03:00
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import sys
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2013-04-09 09:42:49 +04:00
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2019-07-06 23:40:53 +03:00
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from PIL import Image, features
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2010-07-31 06:52:47 +04:00
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try:
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Image.core.ping
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2012-10-11 07:52:53 +04:00
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except ImportError as v:
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2012-10-29 22:50:20 +04:00
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print("***", v)
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2010-07-31 06:52:47 +04:00
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sys.exit()
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except AttributeError:
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pass
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2013-06-30 06:13:55 +04:00
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2010-07-31 06:52:47 +04:00
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def _info(im):
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im.load()
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return im.format, im.mode, im.size
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2013-06-30 06:13:55 +04:00
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2010-07-31 06:52:47 +04:00
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def testimage():
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"""
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PIL lets you create in-memory images with various pixel types:
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2018-10-18 19:46:20 +03:00
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>>> from PIL import Image, ImageDraw, ImageFilter, ImageMath
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2010-07-31 06:52:47 +04:00
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>>> im = Image.new("1", (128, 128)) # monochrome
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>>> _info(im)
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(None, '1', (128, 128))
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>>> _info(Image.new("L", (128, 128))) # grayscale (luminance)
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(None, 'L', (128, 128))
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>>> _info(Image.new("P", (128, 128))) # palette
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(None, 'P', (128, 128))
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>>> _info(Image.new("RGB", (128, 128))) # truecolor
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(None, 'RGB', (128, 128))
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>>> _info(Image.new("I", (128, 128))) # 32-bit integer
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(None, 'I', (128, 128))
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>>> _info(Image.new("F", (128, 128))) # 32-bit floating point
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(None, 'F', (128, 128))
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Or open existing files:
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2016-03-29 14:53:48 +03:00
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>>> im = Image.open("Tests/images/hopper.gif")
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2010-07-31 06:52:47 +04:00
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>>> _info(im)
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('GIF', 'P', (128, 128))
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2016-03-29 14:53:48 +03:00
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>>> _info(Image.open("Tests/images/hopper.ppm"))
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2010-07-31 06:52:47 +04:00
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('PPM', 'RGB', (128, 128))
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>>> try:
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2016-03-29 14:53:48 +03:00
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... _info(Image.open("Tests/images/hopper.jpg"))
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2012-10-29 22:50:20 +04:00
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... except IOError as v:
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... print(v)
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2010-07-31 06:52:47 +04:00
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('JPEG', 'RGB', (128, 128))
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PIL doesn't actually load the image data until it's needed,
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or you call the "load" method:
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2016-03-29 14:53:48 +03:00
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>>> im = Image.open("Tests/images/hopper.ppm")
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2012-10-29 22:50:20 +04:00
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>>> print(im.im) # internal image attribute
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None
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>>> a = im.load()
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2012-10-29 22:50:20 +04:00
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>>> type(im.im) # doctest: +ELLIPSIS
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<... '...ImagingCore'>
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2010-07-31 06:52:47 +04:00
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You can apply many different operations on images. Most
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operations return a new image:
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2016-03-29 14:53:48 +03:00
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>>> im = Image.open("Tests/images/hopper.ppm")
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2010-07-31 06:52:47 +04:00
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>>> _info(im.convert("L"))
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(None, 'L', (128, 128))
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>>> _info(im.copy())
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(None, 'RGB', (128, 128))
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>>> _info(im.crop((32, 32, 96, 96)))
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(None, 'RGB', (64, 64))
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>>> _info(im.filter(ImageFilter.BLUR))
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(None, 'RGB', (128, 128))
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>>> im.getbands()
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('R', 'G', 'B')
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>>> im.getbbox()
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(0, 0, 128, 128)
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>>> len(im.getdata())
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16384
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>>> im.getextrema()
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2014-09-04 10:50:47 +04:00
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((0, 255), (0, 255), (0, 255))
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2010-07-31 06:52:47 +04:00
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>>> im.getpixel((0, 0))
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2014-09-04 10:50:47 +04:00
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(20, 20, 70)
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2010-07-31 06:52:47 +04:00
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>>> len(im.getprojection())
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2
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>>> len(im.histogram())
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768
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Added an `image.entropy()` method
This calculates the entropy for the image, based on the histogram.
Because this uses image histogram data directly, the existing C
function underpinning the `image.histogram()` method was abstracted
into a static function to parse extrema tuple arguments, and a new
C function was added to calculate image entropy, making use of the
new static extrema function.
The extrema-parsing function was written by @homm, based on the
macro abstraction I wrote, during the discussion of my first
entropy-method pull request: https://git.io/fhodS
The new `image.entropy()` method is based on `image.histogram()`,
and will accept the same arguments to calculate the histogram data
it will use to assess the entropy of the image.
The algorithm and methodology is based on existing Python code:
* https://git.io/fhmIU
... A test case in the `Tests/` directory, and doctest lines in
`selftest.py`, have both been added and checked.
Changes proposed in this pull request:
* Added “math.h” include to _imaging.c
* The addition of an `image.entropy()` method to the `Image`
Python class,
* The abstraction of the extrema-parsing logic of of the C
function `_histogram` into a static function, and
* The use of that static function in both the `_histogram` and
`_entropy` C functions.
* Minor documentation addenda in the docstrings for both the
`image.entropy()` and `image.histogram()` methods were also
added.
* Removed outdated boilerplate from testing code
* Removed unused “unittest” import
2019-01-25 20:38:11 +03:00
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>>> '%.7f' % im.entropy()
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'8.8212866'
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2012-10-29 22:50:20 +04:00
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>>> _info(im.point(list(range(256))*3))
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2010-07-31 06:52:47 +04:00
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(None, 'RGB', (128, 128))
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>>> _info(im.resize((64, 64)))
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(None, 'RGB', (64, 64))
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>>> _info(im.rotate(45))
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(None, 'RGB', (128, 128))
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2012-10-29 22:50:20 +04:00
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>>> [_info(ch) for ch in im.split()]
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2010-07-31 06:52:47 +04:00
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[(None, 'L', (128, 128)), (None, 'L', (128, 128)), (None, 'L', (128, 128))]
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>>> len(im.convert("1").tobitmap())
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10456
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2012-10-29 22:50:20 +04:00
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>>> len(im.tobytes())
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2010-07-31 06:52:47 +04:00
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49152
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>>> _info(im.transform((512, 512), Image.AFFINE, (1,0,0,0,1,0)))
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(None, 'RGB', (512, 512))
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>>> _info(im.transform((512, 512), Image.EXTENT, (32,32,96,96)))
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(None, 'RGB', (512, 512))
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The ImageDraw module lets you draw stuff in raster images:
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>>> im = Image.new("L", (128, 128), 64)
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>>> d = ImageDraw.ImageDraw(im)
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>>> d.line((0, 0, 128, 128), fill=128)
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>>> d.line((0, 128, 128, 0), fill=128)
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>>> im.getextrema()
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(64, 128)
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In 1.1.4, you can specify colors in a number of ways:
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>>> xy = 0, 0, 128, 128
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>>> im = Image.new("RGB", (128, 128), 0)
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>>> d = ImageDraw.ImageDraw(im)
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>>> d.rectangle(xy, "#f00")
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>>> im.getpixel((0, 0))
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(255, 0, 0)
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>>> d.rectangle(xy, "#ff0000")
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>>> im.getpixel((0, 0))
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(255, 0, 0)
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>>> d.rectangle(xy, "rgb(255,0,0)")
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>>> im.getpixel((0, 0))
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(255, 0, 0)
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>>> d.rectangle(xy, "rgb(100%,0%,0%)")
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>>> im.getpixel((0, 0))
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(255, 0, 0)
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>>> d.rectangle(xy, "hsl(0, 100%, 50%)")
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>>> im.getpixel((0, 0))
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(255, 0, 0)
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>>> d.rectangle(xy, "red")
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>>> im.getpixel((0, 0))
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(255, 0, 0)
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In 1.1.6, you can use the ImageMath module to do image
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calculations.
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>>> im = ImageMath.eval("float(im + 20)", im=im.convert("L"))
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>>> im.mode, im.size
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('F', (128, 128))
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PIL can do many other things, but I'll leave that for another
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day. If you're curious, check the handbook, available from:
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http://www.pythonware.com
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Cheers /F
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"""
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if __name__ == "__main__":
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# check build sanity
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exit_status = 0
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2019-06-13 18:54:57 +03:00
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print("-" * 68)
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2018-04-11 12:05:09 +03:00
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print("Pillow", Image.__version__, "TEST SUMMARY ")
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2019-06-13 18:54:57 +03:00
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print("-" * 68)
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2012-10-29 22:50:20 +04:00
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print("Python modules loaded from", os.path.dirname(Image.__file__))
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print("Binary modules loaded from", os.path.dirname(Image.core.__file__))
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2019-06-13 18:54:57 +03:00
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print("-" * 68)
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2015-05-14 13:57:01 +03:00
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for name, feature in [
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("pil", "PIL CORE"),
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("tkinter", "TKINTER"),
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("freetype2", "FREETYPE2"),
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("littlecms2", "LITTLECMS2"),
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("webp", "WEBP"),
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2017-09-28 05:04:24 +03:00
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("transp_webp", "WEBP Transparency"),
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2017-05-12 00:01:58 +03:00
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("webp_mux", "WEBPMUX"),
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2017-09-28 05:04:24 +03:00
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("webp_anim", "WEBP Animation"),
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2015-05-14 13:57:01 +03:00
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("jpg", "JPEG"),
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2015-05-15 00:42:22 +03:00
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("jpg_2000", "OPENJPEG (JPEG2000)"),
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2015-05-14 13:57:01 +03:00
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("zlib", "ZLIB (PNG/ZIP)"),
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2016-02-03 14:24:10 +03:00
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("libtiff", "LIBTIFF"),
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2019-06-13 18:54:57 +03:00
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("raqm", "RAQM (Bidirectional Text)"),
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2015-05-14 13:57:01 +03:00
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]:
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2017-05-12 00:01:58 +03:00
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if features.check(name):
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2015-05-14 12:43:28 +03:00
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print("---", feature, "support ok")
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2013-05-16 04:22:41 +04:00
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else:
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2015-05-14 12:43:28 +03:00
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print("***", feature, "support not installed")
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2019-06-13 18:54:57 +03:00
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print("-" * 68)
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2010-07-31 06:52:47 +04:00
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# use doctest to make sure the test program behaves as documented!
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2013-06-30 06:13:55 +04:00
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import doctest
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2019-06-13 18:54:57 +03:00
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2012-10-29 22:50:20 +04:00
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print("Running selftest:")
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2015-12-02 08:37:50 +03:00
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status = doctest.testmod(sys.modules[__name__])
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2010-07-31 06:52:47 +04:00
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if status[0]:
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2012-10-29 22:50:20 +04:00
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print("*** %s tests of %d failed." % status)
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2010-07-31 06:52:47 +04:00
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exit_status = 1
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else:
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2012-10-29 22:50:20 +04:00
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print("--- %s tests passed." % status[1])
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2010-07-31 06:52:47 +04:00
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sys.exit(exit_status)
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